Topic plan and materials

Week TW Date Topic Info Notes Lecture Labs Handouts
22 30 January {{< var topic.w0 >}}
Week 1 22 02 February {{< var topic.w1 >}}
{{< var subtitle.w1 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
Week 2 23 09 February {{< var topic.w2 >}}
{{< var subtitle.w2 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
Week 3 24 16 February {{< var topic.w3 >}}
{{< var subtitle.w3 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
Week 4 25 23 February {{< var topic.w4 >}}
{{< var subtitle.w4 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
Week 5 26 02 March {{< var topic.w5 >}}
{{< var subtitle.w5 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
Week 6 27 09 March {{< var topic.w6 >}}
{{< var subtitle.w6 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
Week 7 28 16 March {{< var topic.w7 >}}
{{< var subtitle.w7 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
Week 8 29 23 March {{< var topic.w8 >}}
{{< var subtitle.w8 >}} 		{{< fa solid circle-info >}} {{< fa solid book-open >}} {{< fa solid person-chalkboard >}} {{< fa solid laptop-code >}} {{< fa solid sheet-plastic >}}
29 24 March {{< var topic.w8+ >}}


Topic details

Topic Description
Week 1
{{< var topic.w1 >}}
{{< var subtitle.w1 >}} 		{{< var topic-abstract.w1 >}}
Week 2
{{< var topic.w2 >}}
{{< var subtitle.w2 >}} 		{{< var topic-abstract.w2 >}}
Week 3
{{< var topic.w3 >}}
{{< var subtitle.w3 >}} 		{{< var topic-abstract.w3 >}}
Week 4
{{< var topic.w4 >}}
{{< var subtitle.w4 >}} 		{{< var topic-abstract.w4 >}}
Week 5
{{< var topic.w5 >}}
{{< var subtitle.w5 >}} 		{{< var topic-abstract.w5 >}}
Week 6
{{< var topic.w6 >}}
{{< var subtitle.w6 >}} 		{{< var topic-abstract.w6 >}}
Week 7
{{< var topic.w7 >}}
{{< var subtitle.w7 >}} 		{{< var topic-abstract.w7 >}}
Week 8
{{< var topic.w8 >}}
{{< var subtitle.w8 >}} 		{{< var topic-abstract.w8 >}}

References

David, F. N. 1955. “Studies in the History of Probability and Statistics i. Dicing and Gaming (a Note on the History of Probability).” Biometrika 42(1/2):1–15. doi: 10.2307/2333419.
El-Shagi, Makram, and Alexander Jung. 2015. “Have Minutes Helped Markets to Predict the MPC’s Monetary Policy Decisions?” European Journal of Political Economy 39:222–34. doi: 10.1016/j.ejpoleco.2015.05.004.
Gelman, Andrew, Jennifer Hill, and Aki Vehtari. 2020. Regression and other stories. Cambridge: Cambridge University Press.
Lord, R. D. 1958. “Studies in the History of Probability and Statistics.: VIII. De Morgan and the Statistical Study of Literary Style.” Biometrika 45(1/2):282–82. doi: 10.2307/2333072.
McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Second. Boca Raton: Taylor and Francis, CRC Press.
Mulvin, Dylan. 2021. Proxies: The Cultural Work of Standing in. Cambridge, Massachusetts: The MIT Press.
Senn, Stephen. 2003. “A Conversation with John Nelder.” Statistical Science 18(1):118–31. doi: 10.1214/ss/1056397489.